Buildings last for a generation. Technology can be outdated in a year. How do you identify which technology and infrastructure will give you the flexibility to face the future? At TEECOMlabs, it’s our mission to provide clarity around how emerging technology affects the built environment and the people who use it. We test products by putting them into real-world simulations, we push the limits of systems compatibility, we prototype our own hardware and software, and we provide consulting and thought leadership.
TEECOMlabs is exploring the implications of machine learning, specifically deep learning, for architecture, engineering, and construction. We are experimenting with deep neural networks, training them to place technology infrastructure symbols on architectural drawings based on datasets of previous projects. We’ve created Architecture ex Machina™️ (AexM) as a working group and knowledge share focused on exploring the future of deep learning in AEC.
There’s a problem with the technology within our industry. We’ve got all these smart systems and devices that surround us all the time, technology that has transformed our everyday experiences, but most of the systems in our built environment are shackled, restricted, designed to be discrete links in a chain, rather than a network of cooperative platforms. This is a broken philosophy and has resulted in a stagnated market, filled with wonderful devices that just “don’t work.”
In a team environment, finding opportunities for everyone to collaborate simultaneously can be difficult, especially for remote teams. Our weekly team coding sessions arose from a desire to get everyone in the same room and make progress on some of the interesting, challenging, and often new problems that we face in our projects. Team coding sessions provide an opportunity to accelerate learning and the overall programming skills of our entire R&D team.